{"id":"W4394832430","doi":"10.54254/2754-1169/74/20241518","title":"Financial Analysis and Future Outlook of Ford Motor Company","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automotive industry; Multinational corporation; General motors; Product (mathematics); Business; Marketing; Finance; Industrial organization; Financial analysis; Quality (philosophy); Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008977049,0.0004153678,0.0001288144,0.003997955,0.0007555874,0.002752089,0.0002554203,0.0006343261,0.008605584],"category_scores_gemma":[0.002823785,0.0000833782,0.0001940625,0.003511806,0.0002129365,0.001435415,0.0003549673,0.0007411954,0.002323416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004127887,"about_ca_system_score_gemma":0.002778885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05520231,"about_ca_topic_score_gemma":0.04547337,"domain_scores_codex":[0.9994053,0.00003953657,0.0000344875,0.0000592703,0.000327409,0.0001341277],"domain_scores_gemma":[0.99659,0.0001982192,0.0004114555,0.00003743204,0.002374416,0.0003885806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002993018,0.0001043015,0.1233172,0.0004082517,0.00005036413,0.0006381135,0.00037321,0.001340563,0.0007472622,0.0380277,0.5588936,0.2758001],"study_design_scores_gemma":[0.00001518324,0.0001544773,0.2519227,0.0004510256,0.00003758921,0.0003827027,0.001304314,0.001447685,0.0008370885,0.002301886,0.7410815,0.00006386352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2892887,0.07303465,0.001859596,0.08515467,0.003872495,0.0001702733,0.09967111,0.0003628097,0.4465857],"genre_scores_gemma":[0.7600718,0.05990108,0.002314451,0.003026062,0.00184285,0.0001170052,0.04999955,0.00006556728,0.1226615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05520231,"threshold_uncertainty_score":0.109762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003270555439881565,"score_gpt":0.2149224564172041,"score_spread":0.2116519009773225,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}